whatmodel.sh · find the best video models you can run

Best video models to run locally on a 24GB PC without a graphics card

A leaderboard of the best video models you can run locally on a computer with 24GB of RAM and no graphics card. Wan 2.2 TI2V 5B is #1 right now, followed by Wan 2.1 T2V 1.3B. Models are ranked by one score that combines 55 published benchmarks. Each model shows the download that fits and the command to run it.

3 models · scores combine 55 benchmarks · updated how it works · find a leaderboard · benchmark your machine
Models for 24GB RAM · no GPU → ~16GB for models (CPU, slow) · local only · reset
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$ terminal

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#modelscore↓where↓speed↓RAM↓get itsources
81Wan 2.2 TI2V 5B · gguf-q4_k_m + umt5 q4_k_m (sd.cpp) Alibaba47±2local (slow)~11GBhow to run › Cosmos 3: Omnimodal World Models for Physical AI (arXiv:2606.02800v4)VABench: A Comprehensive Benchmark for Audio-Video Generation (arXiv:2512.09299v2)Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing (arXiv:2608.05485v1)Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science DomainsPAI-Bench: A Comprehensive Benchmark For Physical AI (arXiv:2512.01989v1)+3
99Wan 2.1 T2V 1.3B · fp16 + umt5 q8_0 (sd.cpp) Alibaba40±4local (slow)~12GBhow to run › WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video ModelsAlibaba Wan technical report (arXiv:2503.20314v2), VBench table (own models)Training-Free Efficient Video Generation via Dynamic Token Carving
—AnimateDiff SD 1.5 v2 motion adapter · fp32 motion module + SD 1.5 (sd.cpp) AnimateDiff authorsno reviewed resultslocal (slow)~7.8GBhow to run ›

+ 139 more don't fit your machine or budget · show them

142 of 142 catalogue models listed here · sources and licences

* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory